• The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth

    Australia

  • 382 Citations
  • 9 h-Index
20142019
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Personal profile

Biography

Dr. Hossein Rahmani is a Research Fellow in the School of Computer Science and Software Engineering (CSSE), the University of Western Australia (UWA), Perth. He obtained his PhD in Computer Vision and Machine Learning from UWA. Hossein has developed machine learning systems and various feature extraction algorithms for RGB-Depth Action Recognition. He has published research papers in high impact factor journals and reputable conferences.

Research

Action Recognition, Event Localization, 3D Computer Vision, Pattern Recognition

Fingerprint Dive into the research topics where Hossein Rahmani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 16 Similar Profiles
Action Recognition Mathematics
Computer vision Engineering & Materials Science
Cameras Engineering & Materials Science
Labels Engineering & Materials Science
Cross-entropy Mathematics
Knowledge Transfer Mathematics
Principal Components Mathematics
Entropy Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2019

  • 382 Citations
  • 9 h-Index
  • 7 Conference paper
  • 6 Article
  • 1 Book
  • 1 Doctoral Thesis
Open Access

Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Cross-entropy
Action Recognition
Skeleton
Labels
Entropy

A Guide to Convolutional Neural Networks for Computer Vision

Khan, S., Rahmani, H., Shah, S. A. A. & Bennamoun, M., 2018, Morgan & Claypool Publishers. 207 p. (Synthesis Lectures on Computer Vision; vol. 8, no. 1)

Research output: Book/ReportBook

Computer vision
Neural networks
Image classification
Sports medicine
Network layers

Identity Adaptation for Person Re-identification

Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 30 Aug 2018, In : IEEE Access. 6, p. 48147-48155 8452946.

Research output: Contribution to journalArticle

Open Access
Testing
Probability distributions
Identification (control systems)
Entropy
Cameras
31 Citations (Scopus)

Learning a Deep Model for Human Action Recognition from Novel Viewpoints

Rahmani, H., Mian, A. & Shah, M., 1 Mar 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 3, p. 667-681 15 p., 7893732.

Research output: Contribution to journalArticle

Action Recognition
Knowledge Transfer
Model
Unknown
Nonlinear Transformation